1
00:00:00,000 --> 00:00:09,500
We might well ask what does all this data
have to do with intelligence in any way?

2
00:00:10,620 --> 00:00:20,173
To paraphrase Einstein, who made this a,
comment, data is about knowing things or

3
00:00:20,173 --> 00:00:27,538
knowing facts, or data points.
The point is to understand and then to

4
00:00:27,538 --> 00:00:31,432
predict.
And that's what all knowledge and use of

5
00:00:31,432 --> 00:00:36,219
knowledge is all about.
I'll illustrate this with a simple

6
00:00:36,219 --> 00:00:43,403
example.
This is a simple game and the red dots are

7
00:00:43,403 --> 00:00:50,020
following the eyes of the player.
As the game is played.

8
00:00:50,400 --> 00:00:56,588
Notice where the dots are, and notice
this, look at this player on the right

9
00:00:56,588 --> 00:01:00,080
instead.
There's a marked difference between.

10
00:01:00,580 --> 00:01:05,054
How the player on the left plays, which is
how the player on the right plays.

11
00:01:05,054 --> 00:01:13,990
Can any of you figure this out?
It's quite simple/ The player on the left

12
00:01:13,990 --> 00:01:19,935
is reacting to where, the ball is.
Whereas the player on the right, is.

13
00:01:19,935 --> 00:01:30,091
Predicting, where the ball is going to go.
If you were to, wonder, which kind of game

14
00:01:30,091 --> 00:01:38,071
you played, what would your guess be?
Turns out that almost all of us play the

15
00:01:38,071 --> 00:01:42,962
game on the right.
Which is predictive intelligence.

16
00:01:42,962 --> 00:01:51,177
The question is how.
And we learn to play the game on the right

17
00:01:51,177 --> 00:01:56,440
from all the data that we encounter in our
lives.

18
00:01:59,340 --> 00:02:03,620
So what we're gonna talk about in this
course is organized.

19
00:02:04,860 --> 00:02:11,171
In the following way.
The kind of data that we find, in the

20
00:02:11,171 --> 00:02:13,320
world.
By looking around.

21
00:02:14,320 --> 00:02:21,540
How we dis, figure out which data to tune
into versus ignore.

22
00:02:23,240 --> 00:02:28,280
What kind of facts or knowledge we can
learn from such data.

23
00:02:28,780 --> 00:02:35,737
How we can put two and two together and
connect different pieces of data with each

24
00:02:35,737 --> 00:02:40,700
other just.
An then use these connections to predict.

25
00:02:41,460 --> 00:02:47,479
What's going to happen next?
And finally, though we might not get to

26
00:02:47,479 --> 00:02:54,396
that in this course, how do use these
predictions to figure out where to move

27
00:02:54,396 --> 00:03:01,494
the paddle, and correct our own actions?
Turns out that prediction, based on past

28
00:03:01,494 --> 00:03:08,591
experience, is what all conscious human
beings, conscious animals, in fact, do all

29
00:03:08,591 --> 00:03:14,083
the time.
And that is exactly what big data enables

30
00:03:14,083 --> 00:03:19,040
large number of machines to do every day
on the web.

31
00:03:20,000 --> 00:03:22,420
Let's see how.